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Project scheduling under multiple resources constraints using a genetic algorithm

dc.contributor.authorMagalhães-Mendes, J.
dc.date.accessioned2014-03-25T14:57:52Z
dc.date.available2014-03-25T14:57:52Z
dc.date.issued2008
dc.description.abstractThe resource constrained project scheduling problem (RCPSP) is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. During the last couple of years many heuristic procedures have been developed for this problem, but still these procedures often fail in finding near-optimal solutions. This paper proposes a genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities and delay times of the activities are defined by the genetic algorithm. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.por
dc.identifier.doi10400.22/4241
dc.identifier.issn1109-9526
dc.identifier.urihttp://hdl.handle.net/10400.22/4241
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)por
dc.relation.ispartofseriesWseas Transactions on Business and Economics; Vol. 5, Issue 11
dc.relation.publisherversionhttp://www.wseas.us/e-library/transactions/economics/2008/28-752.pdfpor
dc.subjectConstruction managementpor
dc.subjectProject managementpor
dc.subjectSchedulingpor
dc.subjectGenetic algorithmpor
dc.subjectRCPSPpor
dc.titleProject scheduling under multiple resources constraints using a genetic algorithmpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage496por
oaire.citation.startPage487por
oaire.citation.titleWseas Transactions on Business and Economicspor
oaire.citation.volume5por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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